Influence of injection timings on performance and emissions of a biodiesel engine operated on blends of Honge methyl ester and prediction using artificial neural network

Shivakumar, . and Pai, Srinivasa P and Rao, Sriniviasa B R (2013) Influence of injection timings on performance and emissions of a biodiesel engine operated on blends of Honge methyl ester and prediction using artificial neural network. Journal of Mechanical Engineering Research, 5 (1). pp. 5-20. ISSN 2141-2383

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Abstract

In the present work, biodiesel prepared from Honge oil (Pongamia) was used as a fuel in C. I engine. Performance studies were conducted on a single cylinder four-stroke water-cooled compression ignition engine connected to an eddy current dynamometer. Experiments were conducted for different percentage of blends of Honge methyl ester with diesel at various compression ratios and at different injection timings. Experimental investigation on the Performance parameters and Exhaust emissions from the engine were done. Artificial neural networks (ANNs) were used to predict the engine performance and emission characteristics of the engine. Separate models were developed for performance parameters as well as emission characteristics. To train the network compression ratio, blend percentage, percentage load and injection timings were used as the input variables whereas engine performance parameters and engine exhaust emissions were used as the output variables. Experimental results were used to train ANN. Results showed good correlation between the ANN predicted values and the desired values for various engine performance values and the exhaust emissions. Mean relative error values were less than 10 percent which is acceptable.

Item Type: Article
Uncontrolled Keywords: Honge methyl ester, transesterification, emissions, epochs, artificial neural network
Subjects: Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 30 May 2013 09:31
Last Modified: 30 May 2013 09:31
URI: http://eprints.manipal.edu/id/eprint/136187

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